agent-skills/skill-goal-execute/SKILL.md
Take a high-level goal and drive it to done — break it into tasks via the todos CLI, open a goal thread in the project's conversations channel, create a plan in todos, generate the tasks under that plan, then execute them one by one until complete. Use for 'execute this goal', 'break down and do X', 'set a goal and run it'.
npx skillsauth add hasna/skills skill-goal-executeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Turn a stated goal into structured, tracked, executed work. This skill is the bridge between "here's what I want" and "it's done", using the three canonical systems: conversations (one goal thread in the project's channel), todos (a plan + tasks), and mementos (learnings as you go).
hostname, e.g. apple06).Ensure you're logged in as an agent (skill-login). Determine the target
project; for global work ensure the machine-name project exists
(todos projects --add "$HOME" --name "$(hostname | sed 's/\.local$//')").
Every project has ONE channel, named per the channel classes (flat repo name
for repo/package projects, full name for platform-*/iapp-*/cweb-*/
community-* products, oss-*/internal-*/research-* for initiatives —
same naming as skill-project-create). Goals do NOT get their own channels:
one thread per goal inside the project channel, updated in-thread.
# Ensure the project's channel exists (create if missing; "already exists" is fine)
conversations channel create "<project-channel>" --description "<project> coordination" --from <agent> 2>/dev/null || true
conversations channel join "<project-channel>" --from <agent>
# Open the goal thread: post the kickoff and capture its message id
GOAL_MSG_ID=$(conversations send "🎯 Goal: <goal>. Breaking into a plan + tasks now." \
--channel "<project-channel>" --from <agent> -j \
| python3 -c "import sys,json; print(json.load(sys.stdin)['id'])")
Machines have no channels of their own (machine traffic folds into ops), so
for global / machine-level goals open the thread in ops instead.
todos plans --add "<goal title>" -d "<the goal, in full>"
# capture the returned PLAN_ID
Decompose the goal into concrete, ordered, individually-verifiable steps. Create each as a task assigned to the plan and the project:
todos add "<step 1>" --plan "<PLAN_ID>" --project "<project>" -p high
todos add "<step 2>" --plan "<PLAN_ID>" --project "<project>" -p high
# ... one per step. Use --parent for sub-steps and deps for ordering if needed.
Post the breakdown to the goal thread so it's visible:
conversations reply "<plan id + task list>" --to $GOAL_MSG_ID --from <agent>
Work strictly one task at a time — never batch:
for each task in plan order:
todos start <id> # claim + in_progress
... do the work, verify it actually works ...
todos comment <id> "<what was done / result>"
todos done <id> # only after verified
conversations reply "✓ <task title>" --to $GOAL_MSG_ID --from <agent>
(save a memory with skill-memory-save if something non-obvious was learned)
Respect the "execute tasks one by one — never in bulk" rule: each task gets individual attention and verification before moving on.
When all tasks are done:
todos plans --complete "<PLAN_ID>"
conversations reply "🏁 Goal complete: <goal>. <summary of what shipped>." --to $GOAL_MSG_ID --from <agent>
Save a summary memory (skill-memory-save) capturing the outcome and any decisions.
conversations reply --to <goal-msg-id>).skill-project-create);
global/machine goals thread into ops.todos, conversations, mementos); fall back from MCP to CLI if
an MCP is stale/broken.testing
Merge a GitHub pull request, merge when green, use a merge queue, or decide whether a pull request is mergeable. Use only for explicit merge intent, not ordinary review.
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